Evaluation of Subjective Sleep Disturbances in Cancer Patients: A Cross-Sectional Study in a Radiotherapy Department

Prevalence and determinants of sleep problems in cancer survivors compared to a normative population: a PROFILES registry study

PURPOSE

To (1) identify the prevalence of sleep problems in cancer survivors across cancer types and survivorship durations compared to a normative population and (2) determine demographic, clinical, lifestyle, and psychosocial determinants.

METHOD

Cancer survivors diagnosed between 2008 and 2015 (N = 6736) and an age- and sex-matched normative cohort (n = 415) completed the single sleep item of the EORTC QLQ-C30: Have you had trouble sleeping? Participants who responded with "quite a bit"/ "very much" were categorized as poor sleepers. A hierarchical multinomial logistic regression was used to identify determinants of sleep problems.

RESULT

The prevalence of sleep problems was higher in cancer survivors (17%) compared to the normative population (11%) (p < 0.001), varied across cancer types (10-26%) and did not vary based on survivorship duration. The full model showed that survivors who were female (adjusted odds ratio (AOR) 2.26), overweight (AOR 1.50), had one (AOR 1.25) and ≥ 2 comorbidities (AOR 2.15), were former (AOR 1.30) and current (AOR 1.53) smokers and former alcohol drinkers (AOR 1.73), had a higher level of fatigue (AOR 1.05), anxiety (AOR 1.14), depression (AOR 1.11), and cognitive illness perceptions (AOR 1.02), had a higher odds for sleep problems. Higher education compared to lower education (AOR 0.67), having a partner (AOR 0.69), and obesity compared to normal BMI (AOR 0.86) were protective to sleep problems as well as high physical activity before adjusting for psychological factors (AOR 0.91).

CONCLUSION

Modifiable determinants of sleep problems include physical activity, fatigue, anxiety, depression, and illness perception.

IMPLICATIONS FOR CANCER SURVIVORS

Sleep problems after cancer deserve clinical attention. They may be improved by addressing modifiable lifestyle factors: increasing physical activity, stop smoking, and reducing alcohol consumption. As fatigue, depression, and illness perception seem related to sleep problems, lifestyle improvements may also improve these outcomes.

Health-related quality of life by veterans RAND 12 and healthcare resource utilization in cancer patients with sleep disorders: insights from the Medical Expenditure Panel Survey

PURPOSE

This study aims to investigate the joint effects of cancer and sleep disorders on the health-related quality of life (HRQoL), healthcare resource utilization, and expenditures among US adults.

METHODS

Utilizing the 2018-2019 Medical Expenditure Panel Survey (MEPS) database, a sample of 25,274 participants was categorized into four groups based on cancer and sleep disorder status. HRQoL was assessed using the VR-12 questionnaire. Generalized linear model (GLM) with a log-linear regression model combined gamma distribution was applied for the analysis of healthcare expenditure data.

RESULTS

Individuals with both cancer and sleep disorders (C+/S+) exhibited notably lower physical health (PCS) and mental health (MCS) scores-1.45 and 1.87 points lower, respectively. They also showed significantly increased clinic visits (2.12 times), outpatient visits (3.59 times), emergency visits (1.69 times), and total medical expenditures (2.08 times) compared to those without cancer or sleep disorders (C-/S-). In contrast, individuals with sleep disorders alone (C-/S+) had the highest number of prescription drug usage (2.26 times) and home health care days (1.76 times) compared to the reference group (C-/S-).

CONCLUSIONS

Regardless of cancer presence, individuals with sleep disorders consistently reported compromised HRQoL. Furthermore, those with cancer and sleep disorders experienced heightened healthcare resource utilization, underscoring the considerable impact of sleep disorders on overall quality of life.

IMPLICATIONS FOR CANCER SURVIVORS

The findings of this study address the importance of sleep disorders among cancer patients and their potential implications for cancer care. Healthcare professionals should prioritize screening, education, and tailored interventions to support sleep health in this population.

Unraveling the "golden ratio": a pilot study investigating acute-to-chronic workload ratio in breast cancer patients undergoing active treatment

Training load monitoring is a common practice in sports medicine for supporting athletes' health and performance. Despite progress in exercise oncology research for breast cancer patients, training load monitoring is underutilized. This study retrospectively investigated the relationship between maintained training load within a defined range and physical and health outcomes of ten breast cancer patients during active anticancer treatment who underwent a 12-week exercise program. Intervention consisted of endurance and resistance training, three times a week, with each session lasting 30-45 min. Assessments were conducted at baseline, 6 and 12 weeks after enrollment, evaluating physical function (6-min walk test-6MWT, and sit-to-stand), muscle strength, body composition, sleep quality (Pittsburgh Sleep Quality Index-Pittsburgh Sleep Quality Index), quality of life (EORTC-QLQ-C30), heart rate variability and physical activity levels (International Physical Activity Questionnaire-International Physical Activity Questionnaire). The Physiological Cost Index/Energy Expenditure Index (PCI/EEI) was estimated using the 6MWT and Heart rate. Training load monitoring was performed by session rating of perceived exertion (sRPE, relative intensity multiplying with session duration). Acute-to-Chronic Workload Ratio (ACWR) (7:28, rolling average) was calculated accordingly. Analyses were performed within-subjects across time points and between-subjects, comparing those who maintained from weeks 6-12 an ACWR of 0.8-1.3 with those who did not. Adherence rates were similar between groups. Physical function improved in the total sample with large effect sizes (Δ6MWT = 56.5 m [95%CI: 6-100 m], effect size [w] = 0.52, p = 0.006; ΔSit-to-Stand = 1.5 [95%CI: 1-5], effect size [w] = 0.681, p < 0.001), demonstrating greater changes in patients with higher ACWR. Sleep quality improvements were higher in the appropriate ACWR group (p = 0.016). A positive correlation was demonstrated between global health status and 6MWT change from baseline to 12 weeks (ρ = 0.689, p = 0.04). Despite a small sample size, patients maintaining sufficient relative training load presented greater physical fitness and sleep quality improvements. Thus, training load monitoring may enhance exercise program benefits in breast cancer patients under active treatment.

Efficacy of traditional Chinese medicine external therapy on sleep quality in patients with cancer: A systematic review and network meta-analysis

Objective

This network meta-analysis aims to assess and compare the effectiveness of various external therapies from traditional Chinese medicine (TCM) in enhancing sleep quality among patients with cancer.

Methods

We systematically searched nine electronic databases, encompassing five English and four Chinese databases, for randomized controlled trials (RCTs) from their inception up to August 10, 2023. The random effects model was utilized for effect size analysis, and the standardized mean difference (SMD) along with its corresponding 95% confidence interval (CI) were computed. Network meta-analysis and comparative effects ranking were executed utilizing STATA 14.0.

Results

We included thirty-four RCTs involving seven distinct external TCM therapies. Among these, Chinese medicine pillow (SMD = -3.27; 95% CI: -6.03 to -0.51), auricular acupressure (SMD = -2.33; 95% CI: -3.36 to -1.29), moxibustion (SMD = -2.28; 95% CI: -3.63 to -0.94), acupressure (SMD = -1.67; 95% CI: -2.64 to -0.70), and acupuncture (SMD = -1.43; 95% CI: -2.65 to -0.21) demonstrated significant effects in improving sleep quality when compared to usual care or waitlist. The cumulative ranking curve values revealed that the Chinese medicine pillow exhibited the highest potential for effectively enhancing sleep quality in patients with cancer, followed by auricular acupressure, moxibustion, acupressure, acupuncture, Tuina, and electroacupuncture.

Conclusions

Our study highlights the Chinese medicine pillow as an optimal external TCM therapy for ameliorating sleep quality in cancer patients, but more RCTs are needed to validate this conclusion. These findings serve as valuable support for future clinical trials and research endeavors.

Systematic review registration

CRD42022381370.

Participatory action research intervention for improving sleep in inpatients with cancer

AIM

To design and implement a plan to improve oncohaematological patients' sleep.

BACKGROUND

The hospital environment can compromise inpatients' sleep, negatively impacting on health outcomes and patient satisfaction.

DESIGN AND METHOD

The improvement plan was designed in collaboration with 18 professionals, 3 patients and 3 accompanying relatives. The study designed followed the SQUIRE 2.0 guidelines. Outcome variables were self-reported patient satisfaction regarding sleep, measured using a 30-item, ad hoc questionnaire and a 10-point visual analogue scale, completed by 318 oncohaematological inpatients (pre-intervention n = 120, post-intervention, n = 198) in a comprehensive cancer centre in Spain from 2017 to 2019.

RESULTS

Overall, 61.5% (n = 190) of the inpatients reported sleep alterations, and 92.6% reported interruptions in their nightly sleep. Half slept less than 6 h/night, but 58.0% said they felt rested upon waking, despite the interruptions. These outcomes were similar before and after the intervention. The improvement plan identified four domains for work (professionals, care procedures, instruments/environment and patients/relatives), 10 areas for improvement and 35 actions for implementation. However, overall sleep worsened significantly, from 6.73 to 6.06 on the 10-point scale. The intervention significantly improved variables related to professionals' behaviour, including noise during the shift change, conversations at the control desk and the use of corridor lights. Sleep disturbances were mainly caused by pain/discomfort and infuser alarms, and collectively they decreased significantly after the intervention (p = .008). However, overall sleep worsened significantly, from 6.73 to 6.06 on the 10-point scale.

CONCLUSIONS

Pain, clinical devices and noise made by professionals are the main causes of sleep disturbances. Involving professionals in decision-making to improve patients' sleep have a positive impact on noise levels.

RELEVANCE TO CLINICAL PRACTICE

This study proposes new strategies for improving sleep by increasing staff awareness and changing attitudes towards patients' sleep. Nurses should be involved in addressing sleep disturbances during hospitalization.